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PL
W artykule przedstawiono wyniki integracji chmur punktów pozyskanych z wykorzystaniem naziemnego skanera laserowego oraz smartfona z sensorem LiDAR. Kompletny zbiór danych posłużył do inwentaryzacji ściany obiektu zabytkowego klasztoru Franciszkanów. W 2019 r. na wniosek upoważnionej osoby dokonano pomiarów obiektu ze względu na zaobserwowane odchylenie ściany budynku spowodowane osiadaniem fundamentów budowli i rozpoczęto prace rewitalizacyjne polegające na wzmocnieniu gruntu pod fundamentami kościoła. Przeprowadzono wiele prac mających na celu zatrzymanie osiadania fundamentów, a także dobudowano i uzupełniono brakujące fragmenty ściany, które miały znaczny wpływ na stabilność obiektu. W 2023 r. powtórzono pomiar, wykorzystując naziemny skaner laserowy i smartfon iPhone 12Pro, aby sprawdzić, czy wykonane prace przyniosły pożądany efekt i zahamowały dalsze odchylenia ścian. Kompletny, zintegrowany zbiór danych posłużył również do wizualizacji ściany po zabiegach konserwatorskich.
EN
The article presents the results of the integration of point clouds obtained using a terrestrial laser scanner and a smartphone with a LiDAR sensor. The complete data set was used to inventory the wall of the historic Franciscan Monastery. In 2019, at the request of the parish priest, the building was measured due to the observed deviation of the building walls caused by the subsidence of the foundations of the building and revitalization works began, consisting in strengthening the ground under the foundations of the church. A number of works were carried out to stop the process of settling the foundations of the monastery, and the missing fragments of the wall were added and supplemented, which had a significant impact on the stability of the building. In 2023, the measurement was repeated using terrestrial laser scanner and iPhone 12Pro to check whether the applied works had the desired effect and inhibited further deviations of the walls. A complete, integrated data set was also used to visualize the wall after conservation treatments.
EN
Sentinel-2 mission, as a part of European Space Agency Earth Observation Program Copernicus, designed specifically for Earth surface observations provides images in 13 bands. That imaging is used to analyse many subject areas as Land monitoring, Emergency management, Security and Climate change. In the presented paper the application of Sentinel-2 data for automatic forest cover changes detection has been analysed. As input data, B02, B03, B04 and B08 bands have been used to compute Normalized Difference Vegetation Index (NDVI) and Enhanced Normalized Difference Vegetation Index (ENDVI). To track changes in the forest cover over the years, for each pixel the difference in the value of vegetation indices between consecutive years have been calculated. Then the threshold was set at the level of 0.15. The values of differences above the threshold mean a significant decrease in the quality of vegetation and may be considered areas of deforestation.
EN
The aim of this work is to explore, for the first time in Poland, the possibility of determining Earth’s crust movements from permanent observations at selected permanent stations using the GipsyX software for a period of 8 years (2011-2018) in the ITRF2014 reference frame. The data used in this work are from 15 Aktywna Sieć Geodezyjna (ASG)-EUPOS stations from 2011 to 2018, which are also European Permanent Network (EPN) stations. The stations Borowa Góra, Borowiec, Józefosław, Lamkówko, and Wroclaw are also International Global Navigation Satellite Systems (GNSS) Service (IGS) stations. Daily data, rinex files, for these stations have been made available for this work by the Main Office of Surveying and Cartography. The calculations were made using the GipsyX software in the ITRF14 reference frame. The tests performed have shown that daily solutions from 8-yearlong time series give secular trends with an accuracy of 0.01 mm/yr. Our results suggest that there are small differences in horizontal and vertical velocities and in the accuracy estimated between our and EPN solutions. At some stations, for example, Łódź, the differences are much larger. The impact of additional GNSS observations on the accuracy of determination of horizontal and vertical movements of the Earth's crust shows a submillimeter accuracy in computed coordinates of stations even at a relatively small time interval. It means that multiGNSS Precise Point Positioning (PPP) processing can be used in the future for the estimation of geodynamic processes.
EN
GNSS station movements as an indicator of the movement of the Earth’s crust are determined by many researchers with the use of various position and trend determination methods. One of such methods is PPP method which allows the determination of a trend for the station without a correlation (direct determination of the position of each station separately). To achieve accuracy comparable with relative positioning, there is the need to use external, high precision data or models (e.g. precise satellite orbits and clocks, ionosphere and tropo sphere models, etc.) while the PPP method is applied. The main purpose of the presented research is preliminary analyses of the results of processing daily GPS observations from permanent stations with the use of the PPP method. Daily GPS observational data in RINEX format have been acquired from a total of nine selected GNSS permanent stations from the Polish ASG EUPOS and the Ukrainian UA-EUPOS/ZAKPOS systems. As external data for PPP solutions JPL products have been used. A seven year time series was created for each station.
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